blob: ca1e166bd19211af25db8798059930370ce68938 [file] [log] [blame]
/*
* Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEGather.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/GatherDataset.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/GatherFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(Gather)
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices data type
TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid Indices dimensionality
TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32), // Invalid Input dimensionality
TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Mismatching data type input/output
TensorInfo(TensorShape(27U, 27U), 1, DataType::F32), // Invalid positive axis value
TensorInfo(TensorShape(27U, 27U), 1, DataType::F16), // Invalid negative axis value
}),
framework::dataset::make("IndicesInfo", {
TensorInfo(TensorShape(10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U8),
TensorInfo(TensorShape(10U, 10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U32),
TensorInfo(TensorShape(10U), 1, DataType::U32),
})),
framework::dataset::make("OutputInfo", {
TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
})),
framework::dataset::make("Axis", {
0,
1,
-2,
0,
1,
0,
1,
2,
-3,
})),
framework::dataset::make("Expected", { true, true, false, false, false, false, false, false })),
input_info, indices_info, output_info, axis, expected)
{
const Status status = NEGather::validate(&input_info.clone()->set_is_resizable(true), &indices_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), axis);
ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*
template <typename T>
using NEGatherFixture = GatherFixture<Tensor, Accessor, NEGather, T>;
TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall,
NEGatherFixture<half>,
framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
NEGatherFixture<half>,
framework::DatasetMode::NIGHTLY,
combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall,
NEGatherFixture<float>,
framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
NEGatherFixture<float>,
framework::DatasetMode::NIGHTLY,
combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float
TEST_SUITE(U8)
FIXTURE_DATA_TEST_CASE(RunSmall,
NEGatherFixture<uint8_t>,
framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
NEGatherFixture<uint8_t>,
framework::DatasetMode::NIGHTLY,
combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U8
TEST_SUITE(U16)
FIXTURE_DATA_TEST_CASE(RunSmall,
NEGatherFixture<uint16_t>,
framework::DatasetMode::PRECOMMIT,
combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
{
// Validate output
validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
NEGatherFixture<uint16_t>,
framework::DatasetMode::NIGHTLY,
combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // U16
TEST_SUITE_END() // Gather
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute